Blinker

Tool:

Blinker

Site:

https://github.com/VisLab/EEG-Blinks

Authors:

Kelly Kliegfas, Kay Robbins,

Nima Bigdely-Shamlo, and Scott Kerick

What it does: Blinker automatically extracts blinks from EEG channels, ICs or EOG signals. Blinker identifies individual blinks in signals, identifies which signals have the highest quality blinks, inserts event markers for blinks and computes blink properties.

Why is this important? Blinks are the dominate artifact in EEG signals. Blinker’s event markers allow blinks to be regressed out. Further, the event markers allow researchers to assess how successfully their preprocessing removed blinks and to use blink properties as physiological indicators.

 

Principal publication:

Kleifges K, Bigdely-Shamlo N, Kerick S, and Robbins KA
BLINKER: Automated extraction of ocular indices from EEG enabling large-scale analysis.  
Front. Neurosci. 11:12. doi: 10.3389/fnins.2017.00012.

 

Recent publications that have used Blinker in analysis:

Bigdely-Shamlo, N., Touryan, J., Ojeda, A., Kothe, C., Mullen, T., and Robbins, K., 2019. Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies, Neuroimage. 2019 Nov 23:116361.

Bigdely-Shamlo, N., Touryan, J., Ojeda, A., Kothe, C., Mullen, T., and Robbins, K., 2019. Automated EEG mega-analysis II: Cognitive aspects of event related features, Neuroimage. 2019 Sep 4:116054.

Robbins, K., Touryan, J. Mullen, T., Kothe, C. Bigdely-Shamlo, N., 2020. How sensitive are EEG results to preprocessing methods: A benchmarking study, Accepted for special issue IEEE Transactions on Neural Engineering and Rehabilitation.